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Artificial neural networks course

Artificial neural networks course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This course teaches you to create precise binary classifiers using real-world tabular data, covering CSV loading, feature engineering, architecture selection, activations, and loss functions. You will optimise hyperparameters, address class imbalance, implement regularisation, track training progress, and assess, interpret, and calibrate models for dependable, ethical, production-ready use.

Elevify advantages

Develop skills

  • Design binary classifiers: construct, optimise, and assess ANN models efficiently.
  • Prepare tabular data: cleanse, encode, scale, and create impactful features.
  • Optimise training: choose losses, activations, regularisation, and learning rates.
  • Tune and deploy: perform hyperparameter optimisation and deliver production-ready models.
  • Interpret outcomes: elucidate metrics, calibration, and feature importance clearly.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
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André FelipePrompt Engineering Student

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